MATLAB Answers

normal distrbution , Monte Carlo , Random

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Hazim Hamad
Hazim Hamad on 26 Mar 2021
Edited: Aditya Patil on 30 Mar 2021
for this command
m=standard_deviation.*randn(1,1000)+mean;%generates an array of 1000 numbers
is this Monte Carlo simulation or not ; if mnot can you give the comand line of Monte Carlo based on normal distrbution .
Also if I need to get a fixed results can you update the comand to include seed please.
Regards
Hazim

Answers (1)

Aditya Patil
Aditya Patil on 30 Mar 2021
Edited: Aditya Patil on 30 Mar 2021
Monte Carlo involves using random sampling, so depending on what you use the result for, it might be monte carlo.
For random seed, use
rng("default");
or
rng(1234); % some number
  4 Comments
Aditya Patil
Aditya Patil on 30 Mar 2021
If are referring to optimizing some function under some constraints, optimization toolbox will help you. See solve for example. I did not understand what you mean by robust optimization. I recommend asking a separate question, as optimization is not my area of expertise, so someone else might be able to help you better.

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